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How do you handle errors and return meaningful error responses in a REST API?

Learn how to handle errors in a REST API: correct HTTP status codes, RFC 7807 problem details, consistent bodies, logging, and safe production responses.

mediumQ15 of 61 in REST API Est. time: 8 minsLast updated:
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Expected Interview Answer

You handle errors by returning the correct HTTP status code together with a consistent, machine-readable error body that explains what went wrong, why, and ideally how to fix it.

Use status codes accurately: 4xx for client errors (400, 401, 403, 404, 409, 422, 429) and 5xx for server errors (500, 502, 503). Return a structured payload — often the RFC 7807 Problem Details format with type, title, status, detail, and instance — plus a stable error code and any field-level validation errors. Handle errors centrally through middleware, never leak stack traces or internal details in production, log the failure with a correlation ID, and keep the shape consistent so clients can parse it reliably.

  • Clients can react programmatically to failures
  • Consistent shape simplifies client code
  • Correct status codes aid caching and tooling
  • Correlation IDs speed up debugging
  • No leaked internals improves security

AI Mentor Explanation

When a batter is given out, the umpire doesn't just walk away silently — they raise a clear signal that says exactly why: LBW, caught, or run out. A meaningful API error is that unambiguous signal: the status code is the raised finger, and the error body is the specific dismissal type so everyone knows what happened. A vague reaction would leave players and scorers guessing, just as a bare 500 with no detail leaves clients stuck.

Step-by-Step Explanation

  1. Step 1

    Choose the right status code

    Map failures accurately: 400/422 for bad input, 401/403 for auth, 404 for missing, 409 for conflict, 5xx for server faults.

  2. Step 2

    Define a consistent error shape

    Adopt a standard body such as RFC 7807 Problem Details with type, title, status, detail, and a stable error code.

  3. Step 3

    Centralise handling

    Catch errors in one middleware or handler so every response has the same format and codes.

  4. Step 4

    Log with correlation IDs

    Record the full error server-side with a request/trace ID that also appears in the client response for support.

  5. Step 5

    Sanitise for production

    Never expose stack traces or internal messages; return safe, generic detail for unexpected 5xx errors.

What Interviewer Expects

  • Accurate use of 4xx vs 5xx status codes
  • A consistent, structured error body (e.g. RFC 7807)
  • Centralised error-handling middleware
  • Not leaking stack traces or internals in production
  • Logging with correlation IDs and stable error codes

Common Mistakes

  • Returning 200 OK with an error message in the body
  • Using 500 for everything, including client input mistakes
  • Inconsistent error shapes across endpoints
  • Leaking stack traces or database errors to clients
  • No stable error code, forcing clients to parse human messages

Best Answer (HR Friendly)

When something goes wrong, the API should clearly say what happened and why, using a standard code and a helpful message instead of a vague failure. This lets the app respond correctly and helps developers fix problems quickly, while keeping sensitive internal details hidden.

Code Example

Central Express error handler with RFC 7807 style body
class ApiError extends Error {
  constructor(status, code, detail, errors) {
    super(detail)
    this.status = status
    this.code = code
    this.errors = errors
  }
}

// Route throws a typed error
app.post('/api/users', (req, res, next) => {
  if (!req.body.email) {
    return next(new ApiError(422, 'VALIDATION_ERROR', 'Request validation failed', [
      { field: 'email', message: 'email is required' },
    ]))
  }
  // ...
})

// Central handler (registered last)
app.use((err, req, res, next) => {
  const status = err.status || 500
  const traceId = req.id
  if (status >= 500) logger.error({ err, traceId })

  res.status(status).json({
    type: `https://api.example.com/errors/${err.code || 'INTERNAL'}`,
    title: status >= 500 ? 'Internal Server Error' : err.message,
    status,
    code: err.code || 'INTERNAL',
    detail: status >= 500 ? 'An unexpected error occurred' : err.message,
    errors: err.errors,
    traceId,
  })
})

Follow-up Questions

  • What is the RFC 7807 Problem Details format?
  • When would you use 422 instead of 400?
  • How do you avoid leaking sensitive information in error responses?
  • Why include a correlation or trace ID in errors?
  • How do you handle validation errors with multiple fields?

MCQ Practice

1. Which status code best fits a request that is well-formed but fails business validation?

422 (or 400) signals the request was understood but semantically invalid; 500 wrongly blames the server for client input errors.

2. What is a key risk of returning raw stack traces to clients?

Stack traces can reveal file paths, libraries, and logic that help attackers, so production errors should be sanitised.

3. Why include a stable error code in responses?

A stable machine-readable code lets clients branch on error type reliably, even if the human message text changes.

Flash Cards

4xx vs 5xx?4xx means the client made a mistake (bad input, auth, not found); 5xx means the server failed to fulfil a valid request.

What is RFC 7807?A standard Problem Details JSON format with type, title, status, detail, and instance fields for consistent API errors.

Why a correlation/trace ID?It ties a client-visible error to server logs, making support and debugging fast without exposing internals.

Why not return 200 for errors?Returning 200 with an error body breaks HTTP semantics and tooling; the status code should reflect the actual outcome.

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